Explore the vast range of titles available.

PurposeAt present, the scale of China's floating population has reached 376 million people. Compared with the local inhabitants, the poverty problem of the floating population is more complex, and this problem should also attract the attention of all sectors of society. This paper aims to measure and analyze the multidimensional poverty of the floating population in China.Design/methodology/approachThe data used in this paper are the data of the China Migrants Dynamic Survey (CMDS) in China. This survey is a large-scale national migratory population sampling survey organized by the China National Health Commission, covering 31 provinces (autonomous regions and cities) and other autonomous regions. This paper uses the dynamic monitoring and Alkire and Foster (A-F) method to study the multidimensional poverty problem of the floating population.FindingsThis study finds that income poverty is no longer the main type of poverty faced by the floating population. The multidimensional poverty of the floating population mainly occurs in the social security and education dimensions, of which social security has become the most severe poverty dimension of the floating population. From the perspective of group differences, compared with the floating population in urban areas, the multidimensional poverty of migrant workers is more serious. However, the poverty of migrant workers is mainly concentrated in one-dimensional poverty and two-dimensional poverty.Social implicationsIn the future, the authors should focus on the social security of the floating population in the place of influx and the education of the floating population.Originality/valueThrough the review of the existing literature, the authors find that the current research on the multidimensional poverty of the floating population is mainly concentrated on the migrant worker groups that move from rural areas to urban areas. However, insufficient attention is paid to the urban floating population groups moving between cities.

In the Ganga river system, unplanned land use land cover (LULC) changes have serious threat to the environment. Protective measures are essential at local, regional, and global scales to save human life and the environment. In the present work, the land use and land cover (LULC) changes have been studied from 2002 to 2021 in a basin area between river Gandak and river Burhi Gandak in India. For the analysis, Landsat 5, 7, and 8 satellite data have been used to analyze the changes in vegetation, urban land, open land, water body, and wet soil in the last two decades. The result shows that from 2002 to 2021 the agricultural area and open land have decreased by 16.12% (158,676 ha) and 11.85% (116794.8 ha), respectively. The urban and the waterlogged area have increased by 24.32% (240,070 ha) and 4.75% (46937.3 ha), respectively. The environmental protection measures, namely conjunctive use, multiple cropping practices, land reclamation, and decentralized urban development to reduce floating population, have been studied and recommended in the study region for better land use/land cover.

After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013–2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan’s migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan’s migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan’s total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan’s migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3–4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan’s migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions.

Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. Methods We employ a logistic model to analyze air pollution’s impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables. Results Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants’ settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou . With every 1 unit increase in PM2.5, each group’s settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively. Conclusions Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants’ settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes.

Background One of the critical components of public health policy globally is to enhance population health and mitigate health disparities. In 2017, China launched the reform of immediate reimbursement for trans-provincial treatments, aimed at increasing healthcare utilization among the floating population. This study aims to evaluate the impact of this policy reform on the health status of the urban–rural floating population. Methods This study utilizes individual-level data from the 2017 and 2018 China Migrants Dynamic Survey (CMDS) and administrative hospital data at the city level. The sample includes 47,803 individuals and 66 cities. Treating the direct reimbursement policy as a quasi-natural experiment, we employ a generalized difference-in-differences model for our quantitative analysis. To control for the effects of urban–rural medical insurance integration—to ensure that both urban and rural residents are covered by the same basic medical insurance policy—our analysis of rural health status from 2016 to 2018 is limited to cities that fully implemented this policy integration before January 1, 2017. Results The policy of immediate reimbursement for trans-provincial treatments has a significant positive impact on the health of the urban–rural floating population. The health benefits of trans-provincial treatments are less pronounced than those of trans-urban treatment, with primary hospitals showing the most notable improvements. Increased household income and consumer spending significantly amplify the health benefits of this policy for the floating population. The effects of the policy are especially pronounced in the female floating population, middle-aged and young adults, individuals with lower levels of education, those desiring long-term residency, and the unmarried groups. Conclusion This paper presents theoretical evidence that the policy of immediate reimbursement for trans-regional treatments narrows the health disparities of the urban–rural floating population and elucidates the mechanisms of this impact for the first time. These results suggest that in order to achieve health equality between urban and rural residents and equitable access to medical services, China is building a more effective medical security system.

Background The floating population in China consists primarily of internal immigrants and represents a typical health vulnerable group. Poor health literacy has recently become an obstacle in the accessibility and utilization of health services for the vulnerable population, leading to adverse health outcomes. This study aimed to examine whether health literacy affected health outcomes in China’s floating population and whether health service utilization had a mediating effect between health literacy and health outcomes. Method The current study utilized a cross-sectional stratified, multistage, proportional to scale (PPS) study in Zhejiang Province, China, in November and December 2019. In total, 657 valid self-reported questionnaires were recovered and used for data collection. Questionnaires included questions regarding sociodemographic characteristics, health literacy, health outcomes, and health service utilization. Confirmatory factor analysis was used to test questionnaire validity; descriptive statistics were used to understand the demographic characteristics of the floating population; and structural equation modeling was used to determine whether health service utilization mediated health literacy and health outcomes. Results We report positive correlations between health literacy, health service utilization, and health outcomes. Mediation analysis demonstrated that health service utilization had partial mediating effects between health literacy and health outcomes. In the relationship between health literacy and health outcomes, the indirect effects of health service utilization accounted for 6.6–8.7% of the total effects. Conclusion Complete health literacy, through health care literacy and health promotion literacy, affects the mobile population’s initiative to use health services, which, in turn, affects health outcomes. Thus, improving the health literacy of the floating population will help to improve health outcomes. Furthermore, health service providers should enhance the diversity of health service supply to ensure that the floating population has the external resources to improve personal health literacy.

Using data from the 2000 and 2010 Chinese population censuses and applying a consistent definition of migration, we examine changing patterns of China's floating population during 2000–2010. During the first decade of the twenty-first century, there have been significant changes in China's floating population, as reflected in a continuing growth of interprovincial floating population and the growth of the floating population in China's western and interior regions, geographic diversification of destinations for the floating population, a major increase in interprovincial return migration, and significant improvement in education and occupational profiles among the floating population. We argue that these patterns are driven by domestic and international factors, including the newly released Labor Law, removal of agricultural tax, the western China development program, increased investment in education by the Chinese government, and the global financial crisis. We also discuss several challenges facing the floating population, which include limited educational opportunity for migrant children and inadequate housing and social welfare protection for the floating population.

Background China has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmission is yet unclear in China. Methods 29,667 tuberculosis flow data were derived from the new smear-positive pulmonary tuberculosis cases in China. Spatial variation of TB transmission was measured by geodetector q-statistic and spatial interaction model was used to model the tuberculosis flow and the regional socioeconomic factors. Results Tuberculosis transmission flow presented spatial heterogeneity. The Pearl River Delta in southern China and the Yangtze River Delta along China’s east coast presented as the largest destination and concentration areas of tuberculosis inflows. Socioeconomic factors were determinants of tuberculosis flow. Some impact factors showed different spatial associations with tuberculosis transmission flow. A 10% increase in per capita GDP was associated with 10.2% in 2010 or 2.1% in 2012 decrease in tuberculosis outflows from the provinces of origin, and 1.2% in 2010 or 0.5% increase in tuberculosis inflows to the destinations and 18.9% increase in intraprovincial flow in 2012. Per capita net income of rural households and per capita disposable income of urban households were positively associated with tuberculosis flows. A 10% increase in per capita net income corresponded to 14.0% in 2010 or 3.6% in 2012 increase in outflows from the origin, 44.2% in 2010 or 12.8% increase in inflows to the destinations and 47.9% increase in intraprovincial flows in 2012. Tuberculosis incidence had positive impacts on tuberculosis flows. A 10% increase in the number of tuberculosis cases corresponded to 2.2% in 2010 or 1.1% in 2012 increase in tuberculosis inflows to the destinations, 5.2% in 2010 or 2.0% in 2012 increase in outflows from the origins, 11.5% in 2010 or 2.2% in 2012 increase in intraprovincial flows. Conclusions Tuberculosis flows had clear spatial stratified heterogeneity and spatial autocorrelation, regional socio-economic characteristics had diverse and statistically significant effects on tuberculosis flows in the origin and destination, and income factor played an important role among the determinants.

This paper utilizes 2017 dynamic monitoring data of China’s floating population and matches it with air pollution data from 287 prefecture-level cities to construct a Probit model. The study aims to investigate the effects and pathways of air pollution on the settlement intention of floating populations. The research findings are as follows: Firstly, air pollution significantly affects the settlement intention of floating populations, with an increase in air pollution concentration leading to a notable decrease in their intent to reside. Secondly, the impact of air pollution on the settlement intention of floating populations varies based on their personal characteristics and regional features. Those with longer years of residence, higher education levels, and better air quality in their hometowns tend to be more sensitive to air pollution. Thirdly, air pollution reduces the settlement intention of floating populations by affecting their physical health. Further research finds that better healthcare services provided by the government can enhance the willingness of migrant populations to settle in areas with environmental pollution. This study enriches the relevant research on environmental factors’ influence on the settlement intention of floating populations, and it provides insights for the government to formulate talent attraction policies from an environmental governance perspective.

Declining total fertility rates pose a severe challenge to the economy, society, culture, and politics of any region. Low fertility rates among China’s rural floating population with strong fertility are aggravating these challenges. Previous research has confirmed the relationships between health insurance and fertility intention. However, it is still unclear whether the existing association is favorable or not. Moreover, the majority of existing studies in China employ data from either urban or rural populations, whereas evidence from rural floating populations remains scarce. Based on the “China Migrants Dynamic Survey (CMDS)” in 2016, the current study used the logistic regression model to explore the impact of health insurance policy on the fertility intention of the rural floating population in China. Propensity Score Matching (PSM) was used to address potential selection bias. Three important findings were observed: Firstly, participating in the Basic Medical Insurance System (BMISUR) significantly improved rural floating populations’ fertility intentions in China. Secondly, the association between age and the fertility intention of the floating population was “inverted u-shaped” with the highest fertility intention among those aged 25 to 34. There was also a positive correlation between personal income and fertility intention, and it was found between local housing purchase, formal employment, the co-residents scale, and the fertility intention in the rural floating population in China. Interprovincial mobility was positively associated with the fertility intention among rural migrants. Thirdly, the impact of health insurance policies on the fertility intention of the rural migrant population varies by gender, age, and inflow areas. The aforementioned findings can guide the Chinese government in its efforts to improve the fertility intention of the rural floating population, reform the social security system with a focus on “targets”, and implement differentiated welfare policies aimed at promoting the equalization of basic public services, thereby contributing to China’s population structure and long-term development.